| Title: |
Optimizing AI in Higher Education |
| Authors: |
Aaron, Lynn; Abbate, Santina; Marae Allain, Nicola; Fallon, Brian; Gavin, Dana |
| Publisher Information: |
State University of New York Press; 64 Ink, 2024. |
| Publication Year: |
2024 |
| Collection: |
Books; Imported or submitted locally |
| Original Material: |
1e003940-c9f9-4f5d-b1a0-1cfa16a3eae7 |
| Subject Terms: |
Education Textbook; Educational Research; Textbook; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GB Encyclopaedias and reference works::GBC Reference works; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence; thema EDItEUR::J Society and Social Sciences::JN Education::JNT Teaching skills and techniques |
| Description: |
In this Optimizing AI in Higher Education: SUNY FACT² Guide, Second Edition, you will find updated information to reflect the changing landscape of generative AI technology. We offer practical suggestions for how to help educators and students achieve AI literacy and find the right methods of using or eschewing generative AI in their pedagogy. The second edition represents both an update to the first Guide, but also a recognition of the fact that generative AI is a tool in constant development; we will continue to advocate for equitable education and access for all students and educators as this dynamic and innovative field continues to grow. |
| Document Type: |
book |
| File Description: |
application/pdf; application/epub+zip |
| Language: |
English |
| Relation: |
Open Educationa1 Resources |
| Access URL: |
https://library.oapen.org/handle/20.500.12657/92885 |
| Rights: |
Attribution-NonCommercial 4.0 International; URL: https://creativecommons.org/licenses/by-nc/4.0/ |
| Notes: |
https://library.oapen.org/handle/20.500.12657/92885 |
| Accession Number: |
edsoap.20.500.12657.92885 |
| Database: |
OAPEN Library |